一句话宣言: 通用的数据管理脚手架，支持多数据库、配置驱动、高性能，让数据操作变得毫不费力。
from datamanager_hjy import DataManager
# 三行代码，启动数据管理
dm = DataManager()
result = dm.create('users', {'name': '张三', 'email': 'zhangsan@example.com'})
users = dm.query('users').filter(name='张三').all()
print(f"🎉 数据操作完成: {users}")
pip install datamanager-hjypip install datamanager-hjy
# 运行快速开始示例（无需配置数据库）
python examples/quick_start.py
# 或者使用CLI工具
datamanager --demo
from datamanager_hjy import DataManager
# 创建数据管理器
dm = DataManager()
# 创建数据
user = dm.create('users', {
'name': '李四',
'email': 'lisi@example.com',
'age': 25
})
# 查询数据
users = dm.query('users').filter(age__gte=20).all()
# 更新数据
dm.update('users', {'age': 26}, {'id': user['id']})
# 删除数据
dm.delete('users', {'id': user['id']})
# 批量操作
users_data = [
{'name': '王五', 'email': 'wangwu@example.com'},
{'name': '赵六', 'email': 'zhaoliu@example.com'}
]
dm.batch_create('users', users_data)
# 事务操作
with dm.transaction() as txn:
txn.create('users', user_data)
txn.update('profiles', profile_data, condition)
txn.commit()
# 跨数据库事务
with dm.multi_database_transaction(['default', 'analytics']) as txn:
txn.create('users', user_data, database='default')
txn.create('analytics_data', analytics_data, database='analytics')
# 配置管理
config = dm.get_config('database.default')
dm.update_config('database.default', new_config)
dm.reload_config()
# config.yaml
databases:
default:
type: mysql
host: ${DB_HOST}
port: ${DB_PORT}
database: ${DB_NAME}
username: ${DB_USER}
password: ${DB_PASSWORD}
pool_size: 10
max_overflow: 20
read_replica:
type: mysql
host: ${DB_READ_HOST}
port: ${DB_READ_PORT}
database: ${DB_READ_NAME}
username: ${DB_READ_USER}
password: ${DB_READ_PASSWORD}
pool_size: 5
max_overflow: 10
models:
auto_discover: true
base_path: models
cache_enabled: true
cache_ttl: 3600
monitoring:
enabled: true
metrics_collection: true
slow_query_threshold: 1000
connection_monitoring: true
from datamanager_hjy.adapters.base import BaseAdapter
class CustomAdapter(BaseAdapter):
def connect(self):
# 自定义连接逻辑
pass
def execute(self, query, params=None):
# 自定义执行逻辑
pass
from datamanager_hjy.models.base import BaseModel
class UserModel(BaseModel):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
name = Column(String(100), nullable=False)
email = Column(String(255), unique=True)
def validate_email(self, email):
# 自定义验证逻辑
return '@' in email
# 运行所有测试
pytest
# 运行单元测试
pytest tests/unit/
# 运行集成测试
pytest tests/integration/
# 运行性能测试
pytest tests/performance/ -m "slow"
# 生成覆盖率报告
pytest --cov=datamanager_hjy tests/
# 获取性能指标
metrics = dm.get_metrics()
# 获取连接状态
status = dm.get_connection_status()
# 获取慢查询
slow_queries = dm.get_slow_queries()
我们欢迎所有形式的贡献！
# 克隆项目
git clone https://github.com/hjy/datamanager_hjy.git
cd datamanager_hjy
# 安装开发依赖
pip install -e ".[dev]"
# 运行测试
pytest
# 代码格式化
black datamanager_hjy/
isort datamanager_hjy/
# 类型检查
mypy datamanager_hjy/
本项目采用 MIT 许可证 - 查看 LICENSE 文件了解详情。
datamanager_hjy - 让数据操作变得毫不费力 ✨
FAQs
We found that datamanager-hjy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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